• Visualizing uncertainty in drug checking test result reports during the opioid crisis: a design study 

  Weatherston, Jorin Diening (2020-03-24)

  Potent opioids (fentanyl) are entering recreational drug manufacturing processes, sometimes without the knowledge of people who use drugs. This is contributing to tens of thousands of accidental overdose deaths each year. ...
• Distributed broadcast and minimum spanning tree algorithms with low communication complexity 

  Mashreghi, Ali (2020-02-03)

  In distributed computing, a set of processors that have their own input collaborate to compute a function. Processors can communicate by exchanging messages of limited size over links available on a predetermined communication ...
• Context aware face recognition 

  Taherimakhsousi, Nina (2020-01-03)

  In common face recognition systems the recognition rate is not sufficient for today's applications, and systems only work in conditional databases and fail in unconstrained conditions. The problem addressed in this ...
• Truss decomposition in large probabilistic graphs 

  Daneshmandmehrabani, Mahsa (2019-12-24)

  Truss decomposition is an essential problem in graph mining, which focuses on discovering dense subgraphs of a graph. Detecting trusses in deterministic graphs is extensively studied in the literature. As most of the ...
• Construction of approximate medial shape representations by continuous optimization 

  Rebain, Daniel (2019-12-23)

  The Medial Axis Transform (MAT) is a powerful tool for shape analysis and manipulation. Traditional methods for working with shapes usually define shapes as boundaries between some “inside” and some “outside” region. While ...
• Minimizing age of information for semi-periodic arrivals of multiple packets 

  Chen, Mianlong (2019-12-04)

  Age of information (AoI) captures the freshness of information and has been used broadly for scheduling data transmission in the Internet of Things (IoT). We consider a general scenario where a meaningful piece of information ...
• Activities of daily living as a functional assessment predictor in older adults: a systematic review with focus on architecture in connected health 

  Alani, Adeshina (2019-12-03)

  Background: Functional Assessment (FA) in older adults is an important measure of their health status. FA using Activities of Daily Living (ADL) is a strong predictor of health outcomes, especially as we age. With the ...
• A framework for measuring organizational information security vulnerability 

  Zhang, Changli (2019-10-30)

  In spite of the ever-growing technology in information security, organizations are still vulnerable to security attacks due to mistakes made by their employees. To evaluate organizational security vulnerability and keep ...
• Demand analysis and privacy of floating car data 

  Camilo, Giancarlo (2019-09-13)

  This thesis investigates two research problems in analyzing floating car data (FCD): automated segmentation and privacy. For the former, we design an automated segmentation method based on the social functions of an area ...
• Graph-XLL: a graph library for extra large graph analytics on a single machine 

  Wu, Jian (2019-08-26)

  Graph libraries containing already-implemented algorithms are highly desired since users can conveniently use the algorithms off-the-shelf to achieve fast analyt- ics and prototyping, rather than implementing the algorithms ...
• Mobility management and mobile server dispatching in fixed-to-mobile and mobile-to-mobile edge computing 

  Wang, Jingrong (2019-08-12)

  Mobile edge computing (MEC) has been considered as a promising technology to handle computation-intensive and latency-sensitive tasks for mobile user equipments (UEs) in next-generation mobile networks. Mobile UEs can ...
• A programming language based on recurrence equations and polyhedral compilation for stream processing 

  Leben, Jakob (2019-07-31)

  The work presented in this dissertation contributes to the field of programming lan- guage design and implementation for stream processing applications. There is a fast-expanding domain of stream processing applications ...
• MusE-XR: musical experiences in extended reality to enhance learning and performance 

  Johnson, David (2019-07-23)

  Integrating state-of-the-art sensory and display technologies with 3D computer graphics, extended reality (XR) affords capabilities to create enhanced human experiences by merging virtual elements with the real world. To ...
• Evolving geospatial applications: from silos and desktops to Microservices and DevOps 

  Gao, Bing (2019-04-30)

  The evolution of software applications from single desktops to sophisticated cloud-based systems is challenging. In particular, applications that involve massive data sets, such as geospatial applications and data science ...
• Generating rhyming poetry using LSTM recurrent neural networks 

  Peterson, Cole (2019-04-30)

  Current approaches to generating rhyming English poetry with a neural network involve constraining output to enforce the condition of rhyme. We investigate whether this approach is necessary, or if recurrent neural ...
• Geometric modeling with primitives 

  Angles, Baptiste (2019-04-29)

  Both man-made or natural objects contain repeated geometric elements that can be interpreted as primitive shapes. Plants, trees, living organisms or even crystals, showcase primitives that repeat themselves. Primitives are ...
• Decoding semantic representations during production of minimal adjective-noun phrases 

  Honari Jahromi, Maryam (2019-04-25)

  Through linguistic abilities, our brain can comprehend and produce an infinite number of new sentences constructed from a finite set of words. Although recent research has uncovered the neural representation of semantics ...
• Systematic generation of datasets and benchmarks for modern computer vision 

  Malireddi, Sri Raghu (2019-04-03)

  Deep Learning is dominant in the field of computer vision, thanks to its high performance. This high performance is driven by large annotated datasets and proper evaluation benchmarks. However, two important areas in ...
• Image processing and forward propagation using binary representations, and robust audio analysis using deep learning 

  Pedersoli, Fabrizio (2019-03-15)

  The work presented in this thesis consists of three main topics: document segmentation and classification into text and score, efficient computation with binary representations, and deep learning architectures ...
• Resilient controller placement problems in software defined wide-area networks 

  Tanha, Maryam (2019-01-31)

  Software Defined Networking (SDN) is an emerging paradigm for network design and management. By providing network programmability and the separation of control and data planes, SDN offers salient features such as simplified ...

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